Bulk Importing Metrics into OpenMetadata 1.9.1.0 via Python

[SodaFoundryDevon]

Hello community,

I am trying to import Metrics in bulk from a JSON file into OpenMetadata 1.9.1.0 using Python. My test code looked like this:

from metadata.ingestion.ometa.client import REST
from metadata.generated.schema.api.data.createMetric import CreateMetricRequest

Create REST client

metadata = REST(
endpoint="http://localhost:8585/api/v1",
auth_provider="no-auth"
)

Example metric

metric_request = CreateMetricRequest(
name="order_count",
displayName="Order Count",
description="Total number of orders per day",
metricType="NUMBER",
metricExpression="COUNT(order_id)"
)

metadata.create_or_update(metric_request)

I also tried using:

from metadata.ingestion.ometa.ometa_api import OpenMetadata

metadata = OpenMetadata(
config={
"api_endpoint": "http://localhost:8585/api/v1",
"auth_provider_type": "no-auth"
}
)

but this always resulted in:

AttributeError: 'dict' object has no attribute 'secretsManagerProvider'

I am looking for a stable approach to bulk upload metrics from JSON in Python for version 1.9.1.0.

My questions:

What is the correct way to import metrics in bulk into OpenMetadata 1.9.1.0 via Python?

Can this be done using the current openmetadata-ingestion SDK, or is there a recommended alternative for a “client-only” approach without using ingestion pipelines?

Are there any working examples of a REST client or Python client for uploading metrics in 1.9.1.0?

Any tips or example code would be greatly appreciated!

Thank you in advance 🙏